5 citations · 6 across the 6 of their papers we have counts for
6 papers
OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
Zhaoqi Zhang, Haolei Pei, Jun Guo +5
In recommendation systems, scaling up feature-interaction modules (e.g., Wukong, RankMixer) or user-behavior sequence modules (e.g., LONGER) has achieved notable success. However,…
Unsupervised Long-Term Person Re-Identification with Clothes Change
Mingkun Li, Shupeng Cheng, Peng Xu +3
We investigate unsupervised person re-identification (Re-ID) with clothes change, a new challenging problem with more practical usability and scalability to real-world deployment.…
Wasserstein Collaborative Filtering for Item Cold-start Recommendation
Yitong Meng, Guangyong Chen, Benben Liao +2
The item cold-start problem seriously limits the recommendation performance of Collaborative Filtering (CF) methods when new items have either none or very little interactions. To…
PMD: An Optimal Transportation-based User Distance for Recommender Systems
Yitong Meng, Xinyan Dai, Xiao Yan +5
Collaborative filtering, a widely-used recommendation technique, predicts a user's preference by aggregating the ratings from similar users. As a result, these measures cannot full…
Group-driven Reinforcement Learning for Personalized mHealth Intervention
Feiyun Zhu, Jun Guo, Zheng Xu +2
Due to the popularity of smartphones and wearable devices nowadays, mobile health (mHealth) technologies are promising to bring positive and wide impacts on people's health. State-…
Pavideoge: A Metadata Markup Video Structure in Video Search Engine
Pu Yang, Jun Guo, Guang Chen
In this paper, we study the problems of video processing in video search engine. Video has now become a very important kind of data in Internet; while searching for video is still…